Unphased Wrinkles: Estimating cloth elasticity parameters using a frequency-based loss
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Abstract (arXiv)
Generating realistic clothing for virtual applications like online retail and digital avatars is crucial but requires expert knowledge of 3D tools to generating believable simulations. Recently, a number of works proposed to estimate cloth material properties from specialized capture setups. However, these systems tend to be monolithic, complex and expensive. We propose a simplified method for automatically determining parameters based on easily captured real-world fabrics. While existing methods carefully design experiments to isolate stretch parameters from bending modes, we embrace that stretching fabrics causes wrinkling and propose a novel specialized loss for comparing wrinkled fabrics. We designed our objective function to capture material-specific behavior, resulting in similar values for different wrinkle configurations of the same material. We estimate bending first, given that membrane stiffness has little effect on bending. We use differentiable simulation to find an optimal set of parameters that minimizes the difference between simulated cloth and deformed target cloth. Furthermore, our pipeline decouples the capture method from the optimization by registering a template mesh to the scanned data. These choices simplify the capture system and allow for wrinkles in scanned fabrics. We demonstrate our method on captured data of three different real-world fabrics and on three digital fabrics produced by a third-party simulator.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Dec 2022.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1.
4 papers.
- 2024PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observationscited by 51
- 2023DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulationcited by 41
- 2024A Comparative Study of Garment Draping Techniquescited by 1
- 2025Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfercited by 0
- 2025Learning High-Fidelity Cloth Animation via Skinning-Free Image Transfer5 Dec 2025
- 2024A Comparative Study of Garment Draping Techniques17 May 2024
- 2024PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations5 Apr 2024
- 2023DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation20 Nov 2023